AI-200 Practice Test 5 — 10 Questions

Question 1

You are designing an AI architecture that stores vector embeddings in Azure Cosmos DB for NoSQL. You need to implement role-based access control (RBAC) so that specific application microservices can only execute read-only queries against the database without having permission to write or delete documents. How should you configure this?

Choose an answer to begin — your selection is scored in the full session.

Accepted Answer

Create a custom SQL role definition with read-only data actions and assign it to the microservice's managed identity. Azure Cosmos DB for NoSQL has a native RBAC system built on SQL role definitions and role assignments. A custom role definition can be scoped to specific data-plane actions such as 'Microsoft.DocumentDB/databaseAccounts/readMetadata' and 'Microsoft.DocumentDB/databaseAccounts/sqlDatabases/containers/items/read', granting read-only access. Assigning that role to the microservice's managed identity enforces least privilege without exposing keys.

Answer

Configure Azure Blob Storage RBAC permissions on the Cosmos DB container

Answer

Share the primary master master-key with all microservices

Answer

Disable authentication on the Cosmos DB account during query execution

Question 2

Your organization requires that all data transmitted to an Azure Service Bus namespace is encrypted in transit using Transport Layer Security (TLS). What is the minimum required TLS version enforced by modern Azure Service Bus secure baselines?

Accepted Answer

TLS 1.2. Modern Azure Service Bus secure baselines require a minimum of TLS 1.2 for all data in transit. TLS 1.2 is the enforced floor because older protocols (SSL 3.0, TLS 1.0, TLS 1.1) have known cryptographic weaknesses and are deprecated across Azure services.

Answer

SSL 3.0

Answer

Plaintext HTTP with custom Base64 encoding

Answer

TLS 1.0

Question 3

Which Azure AI Search field property indicates whether the contents of a field can be returned in search query result documents?

Accepted Answer

retrievable. In Azure AI Search, the 'retrievable' attribute controls whether a field's contents are returned in search results. If retrievable is false, the field can still be searched, filtered, or sorted but its value is omitted from the returned document. This is the exact property that governs result payload inclusion.

Answer

searchable

Answer

facetable

Answer

filterable

Question 4

Your team needs to process high-volume clickstream data from a web application using Apache Kafka protocols while leveraging Azure-managed infrastructure. Which Azure service should you deploy?

Accepted Answer

Azure Event Hubs. Azure Event Hubs is a fully managed, real-time data ingestion service that supports the Apache Kafka protocol via its Kafka endpoint. It is designed for high-throughput event streaming and can handle clickstream data at scale. By deploying Event Hubs, you can use Kafka producers and consumers without managing Kafka clusters.

Answer

Azure Event Grid

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Azure Notification Hubs

Answer

Azure Service Bus

Question 5

You are building a hybrid search solution using Azure AI Search that combines BM25 full-text search with vector search. What is the name of the feature that intelligently combines and normalizes scores from different retrieval systems before presenting the final top results?

Accepted Answer

Reciprocal Rank Fusion (RRF). Reciprocal Rank Fusion (RRF) is the algorithm Azure AI Search uses to merge BM25 and vector result sets in hybrid queries. It converts each result's rank into a reciprocal score (1/(k+rank)) and sums them, producing a normalized combined ranking without needing to align raw score scales. This is why hybrid search in Azure AI Search 'just works' without manual score normalization.

Answer

Min-Max Score Scaling

Answer

Cosine Distance Normalization

Answer

Cross-Encoder Re-ranking

Question 6

You are developing a serverless AI notification workflow. When an AI model finishes training, it publishes an event to an Azure Event Grid topic. You want to trigger an Azure Logic App when this event occurs. Which Event Grid subscription event delivery schema and endpoint type should you select?

Accepted Answer

Select 'Webhook' as the endpoint type and provide the Logic Apps HTTP Request URL.. Azure Logic Apps expose an HTTP-triggered endpoint (the 'When an HTTP request is received' or Event Grid trigger URL) that Event Grid can invoke directly. Selecting 'Webhook' as the endpoint type and supplying the Logic App's HTTP Request URL lets Event Grid POST the event payload to the Logic App, which then parses it and runs the workflow. This is the standard, first-class integration pattern for Event Grid → Logic Apps.

Answer

Select 'Storage Queue' as the endpoint type.

Answer

Select 'Azure Service Bus Queue' as the endpoint type and provide the queue connection string.

Answer

Select 'Azure Event Hubs' as the endpoint type and provide the connection string.

Question 7

Your team is building an automated image moderation pipeline. When an image is uploaded to Azure Blob Storage, you need to trigger an Azure Function to process it using Azure AI Vision. You want to ensure the lowest latency and native cloud event integration. Which integration approach should you configure?

Accepted Answer

Configure an Azure Event Grid system topic and subscription for blob storage events targeting the Azure Function.. Azure Event Grid natively integrates with Blob Storage via system topics and delivers blob-created events to subscribers such as Azure Functions with near-real-time push delivery. This is the lowest-latency, event-driven pattern and requires no polling or intermediate queue.

Answer

Attach an Azure Event Hubs capture policy to the storage container.

Answer

Use an Azure Logic Apps polling trigger to check the storage container every minute for new files.

Answer

Write a background worker service that reads the Azure Service Bus queue populated by storage transactions.

Question 8

Your enterprise AI system processes sensitive Personal Identifiable Information (PII). Compliance regulations require that audit logs capturing who accessed the AI endpoints must be retained immutably for 5 years without possibility of deletion. Where should you configure this immutability policy?

Accepted Answer

Azure Storage account container immutability policies with time-based retention. Azure Storage account container immutability policies with time-based retention (WORM — Write Once, Read Many) enforce that blobs cannot be modified or deleted for a specified retention period, and when locked, the policy cannot be removed even by account owners. This directly satisfies the requirement for immutable 5-year audit log retention. Audit logs written to an immutable container remain tamper-proof for the full retention window.

Answer

Azure Active Directory audit log retention configuration

Answer

Application Insights retention settings configured via the portal

Answer

Azure Key Vault soft-delete and purge protection

Question 9

Your enterprise architecture uses Azure Service Bus Topics and Subscriptions with geo-disaster recovery paired namespaces. A disaster occurs, and you trigger a failover to the secondary region. What happens to the messages currently in the subscriptions of the primary namespace?

Accepted Answer

Messages remaining in the primary namespace are not automatically replicated to the secondary namespace; failover relies on metadata synchronization.. Service Bus geo-disaster recovery (Geo-DR) pairs a primary and secondary namespace and continuously replicates only the namespace metadata — queues, topics, subscriptions, filters, and authorization rules. Message data itself is not replicated, so messages sitting in the primary namespace's subscriptions at the moment of failover are not available in the secondary namespace and are effectively stranded until the primary is restored.

Answer

All queued messages are automatically migrated to the secondary region within 5 seconds.

Answer

Azure Event Grid automatically replays all lost messages from the storage capture.

Answer

The primary namespace messages are permanently deleted and cannot be recovered.

Question 10

You want to track the latency of your model inference API in production. Which Azure tool should you integrate into your containerized application?

Accepted Answer

Azure Application Insights.. Azure Application Insights is the Application Performance Management (APM) service within Azure Monitor, designed to capture request latency, dependency calls, exceptions, and custom telemetry from applications. Integrating the Application Insights SDK (or OpenTelemetry) into the containerized inference API automatically records request duration and end-to-end transaction traces. This directly answers the requirement to track inference API latency in production.

Answer

Azure Storage Queue.

Answer

Azure Event Hubs.

Answer

Azure Data Factory.